Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). CoCoGUM: Contextual Code Summarization with Multi-Relational GNN on UMLs. Retrieved May 24, 2026, from https://4ort.xyz/entity/cocogum-contextual-code-summarization-with-multi-relational-gnn-on-umls
MLA“CoCoGUM: Contextual Code Summarization with Multi-Relational GNN on UMLs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cocogum-contextual-code-summarization-with-multi-relational-gnn-on-umls.
BibTeX@misc{4ortxyz_cocogum-contextual-code-summarization-with-multi-relational-gnn-on-umls_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CoCoGUM: Contextual Code Summarization with Multi-Relational GNN on UMLs}}, year = {2026}, url = {https://4ort.xyz/entity/cocogum-contextual-code-summarization-with-multi-relational-gnn-on-umls}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CoCoGUM: Contextual Code Summarization with Multi-Relational GNN on UMLs — https://4ort.xyz/entity/cocogum-contextual-code-summarization-with-multi-relational-gnn-on-umls (retrieved 2026-05-24)
